Paper Info
Title
A Genetic Programming Approach to Network Management Regulation
Abstract
Although next-generation information network infrastructure is prerequisite for continued economic growth, the United States is falling behind in this area relative to many other countries. Businesses and regulators have grown concerned that the U.S. lacks the correct regulatory and business incentives to upgrade its network. Due to the complex and dynamic nature of this problem, traditional analytic tools have proven inadequate. This paper discusses a Genetic Programming (GP) approach to the problem. Although only a first step towards addressing the problem, the GP discovered several interesting results stemming from the complex interactions. For example, telecommunications companies would actually be hurt by the option to charge discriminatory prices but application providers would benefit.
Year
DOI
Venue
2010
10.1109/HICSS.2010.14
HICSS
Keywords
Field
DocType
united states,genetic programming,application provider,complex interaction,genetic programming approach,next-generation information network infrastructure,discriminatory price,dynamic nature,interesting result,continued economic growth,business incentive,network management regulation,genetic algorithms,mathematical model,network management,next generation networking,economics,economic growth,telecommunication services,commerce,telecommunications,elasticity
Next-generation network,Incentive,Computer science,Knowledge management,Risk analysis (engineering),Upgrade,Genetic programming,Network management,Telecommunications service,Genetic algorithm,Marketing
Conference
ISSN
Citations 
PageRank 
1060-3425
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Kurt DeMaagd1154.30
Johannes M. Bauer2507.40